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Research and Cluster Computing at SDSU. Summer, 2014 Division of Technology and Security University Networking and Research Computing (UNRC) About UNRC. Some information is available at (not all is up-to-date).

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Research and cluster computing at sdsu

Research and Cluster Computingat SDSU

Summer, 2014

Division of Technology and Security

University Networking and Research Computing (UNRC)

About unrc
About UNRC

Some information is available at all is up-to-date).

Mailing list

New users should be automatically added. Each message has an unsubscribe link. Go to to view list, re-subscribe, etc.

Sdsu research computing support
SDSU Research Computing Support

People—implementation Admin Building Rms. 119/117

Brian Moore x4679, SAD 117 Brian.Moore@SDSTATE.EDU

user support, research computing, applications

Alan Carter x5395, SAD 119 Alan.Carter@SDSTATE.EDU

sysadmin SMP systems, SAS support

Bryan Riegerx5799, SAD 117 Bryan.Rieger@SDSTATE.EDU

sysadmin cluster, ANSYS, COMSOL support


Mike Adelaine VP of Technology & Security

Kevin Brandt Manager of UNRC

Ryan KnutsenAssistant VP, Security

Main research cluster bigjack
Main research cluster: “bigjack”

  • bigjack

    • IBM IdataPlex, IBM DX350 M3 nodes, 71 nodes

    • Each node: 12 cores, two hex-core Intel Xeon X5670 (Westmere), 2.93 GHz

    • 48 GB RAM on each node (a few with 96 GB)

    • Infiniband – high speed low latency interconnect – to each node, as well as gigabit ethernet

    • Nine nodes have dual GPU: Nvidia Tesla 2090 series

    • SLES 11.1 operating system

    • SAN storage allows flexible deployment of large partitions to head node

      Three nodes for interactive use:

      bigjack—for submission to nodes via Moab/PBS scheduler

      kojack—for visualization

      flapjack—general interactive use and GPU development/compile

      All three interactive nodes share same credentials and storage.

Also available special project smp servers
Also available: special project SMP servers

  • silvertip

    • IBM x3755, 24 cores, four hex-core AMD 8435, 2.6 GHz

    • 128GB RAM, OpenSUSE

  • silvertip2 and silvertip3

    • IBM x3755 M3's, 64 cores, four 16 core AMD 6282SE,2.6GHz

    • 512 GB RAM, OpenSUSE/SLES

  • yeti

    • HP Z820 workstation, 16 cores, two 8 core Intel Xeon E5-2690, 2.90 GHz

    • 256 GB RAM, SLED 11.2

    • Main use is CLC Genomics Workbench

  • sasquatch

    • HP Z820 workstation, 16 cores, two 8 core Intel Xeon E5-2690, 2.90 GHz

    • Two Nvidia Tesla 2050 GPUs

    • 128 GB RAM, SLED 11.2

    • GPU development, Virtual Machines

Some software examples main theme all linux unix
Some software examplesmain theme—all Linux/UNIX


  • BLAST (and related)

  • CLC Workbench


  • Gaussian



  • NAMD


  • PETSc

  • R

  • SAS

  • SPSS

  • CPMD

  • ESRI


  • Compilers (gcc/gfortran, pgi, IBM XL)

Getting connected logged on
Getting connected, logged on

  • Access software—Windows

    • PuTTY (

    • WinSCP (

    • VNC (

  • Mac: Terminal App and FileZilla (or similar)

  • Linux: Terminal and file manager, Nautilus (or similar)

  • All UNRC servers are behind campus firewall—no direct incoming network connections from outside allowed

Getting connected logging in
Getting connected, logging in

~5 min; make a few attempts; Connect to SDSUFacStaff wireless

[For wireless laptop general connection issues, you can bring laptop to Support Desk, 131 Admin. Building (SAD), or call 688-6776, or email ]

In your terminal program (PuTTY, Mac Terminal) first connect to

flapjack (or bigjack.jacks.local). General use/GPU

Server account/login/password questions on cluster systems: contact me or Bryan Rieger, x5799

Change your password
Change your password

  • passwdon the command lineFirst prompts you for old passwordthen prompts for a new oneconfirmation

  • USE STRONG PASSWORDS!Several characters (8 at least)Include a numberUpper and lower case both usedSpecial characters

  • Note: UNIX is case sensitive! (test is not same as Test)

Why linux command line
Why Linux Command Line?

DEC VAX 11/780 circa mid 1980s

Research and cluster computing at sdsu